VOSM Code

/****************************************************************************
* 
* Copyright (c) 2006 by JIA Pei, all rights reserved.
* Copyright (c) 2006 by Vision Open: http://www.visionopen.com/
*
* Author:      	JIA Pei
* Contact:     	jp4work@gmail.com
* URL:		http://www.visionopen.com/members/jiapei.php
* The author administrates Vision Open -- http://www.visionopen.com
*
* This program is free software; you can redistribute it and/or modify it 
* under the terms of the GNU General Public License as published by the 
* Free Software Foundation.
*
* This program is distributed in the hope that it will be useful, but 
* WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY 
* or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License 
* for more details.
* 
* You should have received a copy of the GNU General Public License along 
* with this program; if not, write to the Free Software Foundation, Inc., 
* 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
* 
* This software is partly based on the following open source: 
*  
*		- Boost 
*		- OpenCV 
* 
* This software is using IMM Face Database, which can be downloaded from
* http://www2.imm.dtu.dk/~aam/.
*
* M. B. Stegmann, B. K. Ersb{\o}ll, and R. Larsen. FAME - a flexible appearance 
* modelling environment. IEEE Trans. on Medical Imaging, 22(10):1319-1331, 2003
*
****************************************************************************/

// $Id: aambuilding.cpp,v 1.1.1.1 2006-09-03 17:49:04 JIA Pei Exp $  



#include <vector>
#include <string>
#include <iostream>

#include "cv.h"
#include "highgui.h"
#include "ml.h"

#include "lv_io.h"
#include "lv_aambuilding.h"


using namespace std;

extern string hostImagePath = "./imm_face_db";
extern string traineddata = "./traineddata.txt";        // For output


extern const double    TruncatePercentage = 0.95;


int main(int argc, char *argv[])
{
    vector<string> AllTrainedASFFiles = lv_io::ScanNSortDirectory(hostImagePath, "asf"); //

    vector<string> AllImgFiles4Training = lv_io::ScanNSortDirectory(hostImagePath, "jpg");

    lv_aambuilding buildAAM(AllTrainedASFFiles, AllImgFiles4Training, traineddata);

    return EXIT_SUCCESS;
}